AI-supported analysis, modeling and synthesis (design) of organoids (KI-MSO-O)

Focus topic: Life Science Technologies
Type of funding: Project funding programmes
Programme: CZS Breakthroughs
Funded institution:
  • Technische Universität Ilmenau

The project investigates the precise description of brain organoids through mathematical modeling. The researchers are using AI-supported methods for this purpose. This will optimize biotechnological designs and achieve progress for personalized medicine.

Goals

An organoid is a three-dimensional cell culture that replicates the architecture and function of real organs. Organoids are key to developing new therapies and understanding complex diseases such as multiple sclerosis or brain tumors. The reproducible production of suitable organoids is of great importance for clinical research. However, directly applicable methods for analyzing and simulating the growth process of complex brain organoids are not yet available. The "KI-MSO-O" project aims to develop new techniques to better assess the quality and maturity of organoids at an early stage. Novel mathematical modeling and artificial intelligence are used for this purpose. In addition, single cell information, patient data and microscopy images are integrated. The techniques being researched here will be used to specifically grow organoids from patients with certain diseases and compare them with healthy control groups. This will provide better insights into the development and progression of these diseases. The approach promises great progress for personalized medicine.

Involved persons:

Dr. Phil-Alan Gärtig

Program Manager

Phone: +49 (0)711 - 162213 - 10

E-mail: phil-alan.gaertig@carl-zeiss-stiftung.de

Prof. Dr. Jana de Wiljes

Technische Universität Ilmenau

Detailed information:

Focus topic: Life Science Technologies
Programme: CZS Breakthroughs
Type of funding: Project funding programmes
Target group: Professors
Funding budget: 4.992.000 €
Additional overhead: 998.400 €
Period of time: April 2025 - März 2030

Funded institution:

Technische Universität Ilmenau
Technische Universität Ilmenau